Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

The Data Science Lab Binary Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end ...

Four new methods for classification of multivariate binary data are presented, based on an orthogonal expansion of the density in terms of discrete Fourier series. The performance of these methods in ...

This is a preview. Log in through your library . Abstract We consider variable screening in high-dimensional binary classification. First, we propose nonparametric test statistics for the problem of ...